{"id":"https://openalex.org/W4416250590","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228056","title":"ETRT-Net: Efficient Non-Local Transformer and Residual Triplet Attention for Breast Lesion Segmentation","display_name":"ETRT-Net: Efficient Non-Local Transformer and Residual Triplet Attention for Breast Lesion Segmentation","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250590","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228056"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104319459","display_name":"Chun Wang","orcid":"https://orcid.org/0009-0008-8332-9333"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Wang","raw_affiliation_strings":["Taiyuan University of Technology,School of Software,Taiyuan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taiyuan University of Technology,School of Software,Taiyuan,China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119049813","display_name":"Jingxing Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingxing Cao","raw_affiliation_strings":["Taiyuan University of Technology,School of Software,Taiyuan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taiyuan University of Technology,School of Software,Taiyuan,China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115603879","display_name":"Jianfeng Wang","orcid":"https://orcid.org/0000-0002-6996-4081"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Wang","raw_affiliation_strings":["Taiyuan University of Technology,School of Software,Taiyuan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taiyuan University of Technology,School of Software,Taiyuan,China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445780","display_name":"Shaohui Liu","orcid":"https://orcid.org/0000-0002-1810-5412"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohui Liu","raw_affiliation_strings":["Harbin Institute of Technology,Faculty of Computing,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Faculty of Computing,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32220141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.8845999836921692,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.8845999836921692,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.03060000017285347,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11134","display_name":"Breast Lesions and Carcinomas","score":0.010599999688565731,"subfield":{"id":"https://openalex.org/subfields/2734","display_name":"Pathology and Forensic Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7416999936103821},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7245000004768372},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.5569999814033508},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4830000102519989},{"id":"https://openalex.org/keywords/breast-ultrasound","display_name":"Breast ultrasound","score":0.45739999413490295},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.421999990940094},{"id":"https://openalex.org/keywords/lesion","display_name":"Lesion","score":0.42149999737739563}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7416999936103821},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7245000004768372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6279000043869019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6184999942779541},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5569999814033508},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4830000102519989},{"id":"https://openalex.org/C2777423100","wikidata":"https://www.wikidata.org/wiki/Q1888238","display_name":"Breast ultrasound","level":5,"score":0.45739999413490295},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.421999990940094},{"id":"https://openalex.org/C2781156865","wikidata":"https://www.wikidata.org/wiki/Q827023","display_name":"Lesion","level":2,"score":0.42149999737739563},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.39649999141693115},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.38830000162124634},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3785000145435333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3328999876976013},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2858999967575073},{"id":"https://openalex.org/C2986637895","wikidata":"https://www.wikidata.org/wiki/Q953865","display_name":"Breast tumor","level":4,"score":0.2743000090122223},{"id":"https://openalex.org/C2983050975","wikidata":"https://www.wikidata.org/wiki/Q88287214","display_name":"Block structure","level":3,"score":0.267300009727478},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2744692634","https://openalex.org/W2752782242","https://openalex.org/W2892923422","https://openalex.org/W2910702843","https://openalex.org/W2913510405","https://openalex.org/W2963104294","https://openalex.org/W2963794428","https://openalex.org/W2969908837","https://openalex.org/W2986798853","https://openalex.org/W2991372685","https://openalex.org/W2996290406","https://openalex.org/W3002592716","https://openalex.org/W3015130244","https://openalex.org/W3015788359","https://openalex.org/W3019898597","https://openalex.org/W3027739765","https://openalex.org/W3034681889","https://openalex.org/W3094910079","https://openalex.org/W3119205652","https://openalex.org/W3126389275","https://openalex.org/W3127426043","https://openalex.org/W3144321749","https://openalex.org/W3144978484","https://openalex.org/W3158966024","https://openalex.org/W3160439140","https://openalex.org/W3165610192","https://openalex.org/W3204245437","https://openalex.org/W3212386989","https://openalex.org/W3212672269","https://openalex.org/W3213767478","https://openalex.org/W4212875960","https://openalex.org/W4214627683","https://openalex.org/W4281626394","https://openalex.org/W4292939762","https://openalex.org/W4294975369","https://openalex.org/W4310863275","https://openalex.org/W4321232185","https://openalex.org/W4391058099","https://openalex.org/W4403067249"],"related_works":[],"abstract_inverted_index":{"Breast":[0],"cancer":[1],"stands":[2],"as":[3],"one":[4],"of":[5,9,94,101],"the":[6,23,67,73,80,91,95,115,136],"leading":[7],"causes":[8],"mortality":[10],"among":[11],"women.":[12],"Accurate":[13],"lesion":[14,109],"segmentation":[15],"is":[16],"crucial":[17],"for":[18,38,161],"timely":[19],"clinical":[20,166],"intervention.":[21],"However,":[22],"varying":[24],"tumor":[25],"morphologies":[26],"and":[27,56,79,117,155],"unclear":[28],"boundaries":[29],"present":[30],"in":[31,105,165],"breast":[32,108,147],"ultrasound":[33,148],"images":[34],"pose":[35],"significant":[36],"challenges":[37],"existing":[39],"methods,":[40],"often":[41],"hindering":[42],"their":[43],"ability":[44],"to":[45,126,139],"produce":[46],"satisfactory":[47],"results.":[48],"This":[49],"study":[50],"proposes":[51],"an":[52],"Efficient":[53,68],"Non-Local":[54,69],"Transformer":[55,70],"Residual":[57,74,81],"Triple":[58,75,82],"Attention":[59,76,84],"Network":[60],"(ETRT-Net).":[61],"The":[62,87],"network":[63],"combines":[64],"three":[65,132],"modules:":[66],"Block":[71,77,85],"(ENLTB),":[72],"(RTAB),":[78],"Conv":[83],"(RTCAB).":[86],"ENLTB":[88],"module":[89],"extends":[90],"receptive":[92],"field":[93],"model":[96],"with":[97],"a":[98,122],"time":[99],"complexity":[100],"O(N),":[102],"which":[103,120],"aids":[104],"accurately":[106],"identifying":[107],"boundaries.":[110],"Additionally,":[111],"we":[112],"innovatively":[113],"propose":[114],"RTAB":[116],"RTCAB":[118],"modules,":[119],"employ":[121],"triple":[123],"attention":[124],"mechanism":[125],"capture":[127],"cross-dimensional":[128],"feature":[129,140],"dependencies":[130],"across":[131],"parallel":[133],"branches,":[134],"enhancing":[135],"model\u2019s":[137],"sensitivity":[138],"correlations.":[141],"Through":[142],"experiments":[143],"on":[144],"two":[145],"open-access":[146],"datasets,":[149],"our":[150],"method":[151],"provides":[152],"more":[153],"accurate":[154],"reliable":[156],"segmentation,":[157],"highlighting":[158],"its":[159],"potential":[160],"improving":[162],"diagnostic":[163],"capabilities":[164],"settings.":[167]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-14T00:00:00"}